* the lock to check again. Since an IDLE state was observed inside the preceding synchronized
     * block, and reference field assignment is atomic, this may save reacquiring the lock when
     * another thread or the worker task has cleared the count and set the state.
     *
     * <p>When {@link #executor} is a directExecutor(), the value written to

     * the lock to check again. Since an IDLE state was observed inside the preceding synchronized
     * block, and reference field assignment is atomic, this may save reacquiring the lock when
     * another thread or the worker task has cleared the count and set the state.
     *
     * <p>When {@link #executor} is a directExecutor(), the value written to

  patches should only highlight the actual difference, not being disturbed by any formatting issues:
  + Only use spaces for indentation.
  + Create minimal diffs - disable on save actions like reformat source code or organize imports.
    If you feel the source code should be reformatted, create a separate PR for this change.
  + Check for unnecessary whitespace with `git diff --check` before committing.

# Recommended: use a local+remote cache.
#
#   Bazel will cache your builds in tensorflow/build_output/cache,
#   and will also try using public build cache results to speed up
#   your builds. This usually saves a lot of time, especially when
#   re-running tests. However, note that:
#
#    - New environments like new CUDA versions, changes to manylinux,
#      compilers, etc. can cause undefined behavior such as build failures

	EnvPrefix        = madmin.EnvPrefix
	EnvWordDelimiter = madmin.EnvWordDelimiter
)

// DefaultKVS - default kvs for all sub-systems
var DefaultKVS = map[string]KVS{}

// RegisterDefaultKVS - this function saves input kvsMap
// globally, this should be called only once preferably
// during `init()`.
func RegisterDefaultKVS(kvsMap map[string]KVS) {
	for subSys, kvs := range kvsMap {
		DefaultKVS[subSys] = kvs
	}
}

	m.wg.Add(1)
	defer m.wg.Done()

	if atomic.LoadInt32(&m.closing) == 1 {
		return
	}

	select {
	case m.opCh <- op:
	default:
	}
}

// Do not accept new MRF operations anymore and start to save
// the current heal status in one available disk
func (m *mrfState) shutdown() {
	atomic.StoreInt32(&m.closing, 1)
	m.wg.Wait()
	close(m.opCh)
	atomic.StoreInt32(&m.closed, 1)

	if len(m.opCh) > 0 {

And you want to have a way for the frontend to authenticate with the backend, using a **username** and **password**.

We can use **OAuth2** to build that with **FastAPI**.

But let's save you the time of reading the full long specification just to find those little pieces of information you need.

Let's use the tools provided by **FastAPI** to handle security.

## How it looks

   *
   * <p>The collections returned by {@link Multimap#keySet()}, {@link Multimap#keys()}, and {@link
   * Multimap#asMap()} will iterate through the keys in the order that they were first added to the
   * multimap, save that if all values associated with a key are removed and then the key is added
   * back into the multimap, that key will come last in the key iteration order.
   */

 * A set of tasks that are executed in sequential order.
 *
 * Work within queues is not concurrent. This is equivalent to each queue having a dedicated thread
 * for its work; in practice a set of queues may share a set of threads to save resources.
 */
class TaskQueue internal constructor(
  internal val taskRunner: TaskRunner,
  internal val name: String,
) {
  val lock: ReentrantLock = ReentrantLock()

  internal var shutdown = false

        getProperties().putAll(t);
    }

    @Override
    public Object remove(final Object key) {
        return getProperties().remove(key);
    }

    @Override
    public void save(final OutputStream out, final String comments) {
        throw new UnsupportedOperationException("Unsupported operation.");
    }

    @Override
    public Object setProperty(final String key, final String value) {